Result for 01D4CA5F1AEC6390163F33A7BAF83166AF991409

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/linalg/__pycache__/info.cpython-36.pyc
FileSize1379
MD5E752FC7F94FF63B2FFE1FBAE052B0119
SHA-101D4CA5F1AEC6390163F33A7BAF83166AF991409
SHA-256721F51D1A1F0316D9BCDA1F387DB1C5B091D7E354312ECE23A0C62B2F98DB525
SSDEEP24:zgYvO9Jugh2qEXmm8f7VUZ7aKNVlaKVsaaD+KN6BYpRM+SU/WaMe:uzuA2qE2ZfZUZRzvy/D+VY/M7Da/
TLSHT12A21E0167F0016D0C607E12357565E268F70F1F26A075993398F01B41B8AEA1077FBE9
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5622573852673C8C77D5877B9786C5C08
PackageArchx86_64
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
PackageMaintainerFedora Project
PackageNamepython36-numpy
PackageRelease1.el7
PackageVersion1.12.1
SHA-10EC6C3EA21290C59782D4634AB1E650A866BF697
SHA-256961139535A2C96904A495B89CBF59A13AC940CD8B07A08FC98867145083F2B88